Video description
Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better.
This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
Product information
- Title: Leveraging data science in asset management
- Author(s):
- Release date: October 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920339496
You might also like
book
Responsible Data Science
Explore the most serious prevalent ethical issues in data science with this insightful new resource The …
book
The New Science of Asset Allocation: Risk Management in a Multi-Asset World
A feasible asset allocation framework for the post 2008 financial world Asset allocation has long been …
book
Forecasting Expected Returns in the Financial Markets
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential …
book
Global Managerial Perspectives of Big Data Strategy in Supply Chain Management
CSCMP is seeking answers to questions relating to how supply chain partners are employing Big Data …